A new approach to robust fault detection and identification

Author

Saif, Mehrda ; Guan, Yuping

Author_Institution

Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada

Volume

29

Issue

3

fYear

1993

fDate

7/1/1993 12:00:00 AM

Firstpage

685

Lastpage

695

Abstract

A methodology for instrument fault detection and identification (FDI) in linear dynamical systems subject to plant parameter variations or uncertainties is presented. At the heart of this approach is a robust estimator for which the necessary and sufficient conditions to its existence are outlined. The robust estimator can simultaneously estimate the unmeasurable state variables of the system for the purpose of control and provide necessary information for FDI purposes. A novel feature of this approach is that it can actually identify the shape and magnitude of the failures. The scheme allows for fast and accurate FDI, and can account for structural uncertainties and variations in the parameters of the dynamical model of the system. The overall fault tolerant control system strategy proposed is verified through simulation studies performed on the control of a vertical takeoff and landing (VTOL) aircraft in the vertical plane

Keywords

aircraft control; estimation theory; fault location; parameter estimation; redundancy; VTOL; actuator; aircraft; dynamical model; fault tolerant control system; identification; instrument fault detection; linear dynamical systems; necessary and sufficient conditions; plant parameter variations; robust fault detection; sensor; simulation; structural uncertainties; uncertainties; vertical takeoff and landing; Control systems; Fault detection; Fault diagnosis; Heart; Instruments; Robust control; Robustness; State estimation; Sufficient conditions; Uncertainty;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.220921

Filename

220921